code: def to_32bit(x):
      if x.dtype == np.complex128:
          return x.astype(np.complex64)
      if x.dtype == np.float64:
          return x.astype(np.float32)
      return x
  
imports: import itertools
  import numpy
  import scipy.signal
  from tensorflow.compiler.tests import xla_test
  from tensorflow.python.framework import dtypes
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops.signal import signal
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 2 for calling a global function with example usage: to_32bit(x) and returns: x, x, x